MemoryError

[154461013]

generate_data.py --street 1 --approximate root_nodes
in PyStack\src\NeuralNetwork\next_round_value.py
function _init_root_approximation_vars()
self.next_round_inputs = np.zeros([batch_size,BC,HC*PC + 1 + self.num_board_features], dtype=dt)
self.next_round_values = np.zeros([batch_size,BC,PC,HC], dtype=dt)
what is the batch_size？So next_round_inputs requires 22GB of memory。Do I need more than 60g of memory?

[ZM-CASIA]

python generate_data.py --street 1 --approximate root_nodes

Traceback (most recent call last):
File "generate_data.py", line 29, in
main()
File "generate_data.py", line 25, in main
data_generation.generate_data(street, approximate, starting_idx)
File "/home/zhangmeng/pystack/src/DataGeneration/data_generation.py", line 170, in generate_data
inputs, targets = self.solve_root_node(board, batch_size)
File "/home/zhangmeng/pystack/src/DataGeneration/data_generation.py", line 46, in solve_root_node
self.range_generator.set_board(hand_strengths, board)
File "/home/zhangmeng/pystack/src/DataGeneration/range_generator.py", line 59, in set_board
hand_strengths = evaluator.evaluate_board(board) if board.shape[0] == 5 else hand_strengths
IndexError: tuple index out of range
@doas3140 when generating the data of pre-flop, it failed. ^_^??

[154461013]

if board.shape[0] == 5，You need to modify this 。when in pre_flop, the shape is None.

[ZM-CASIA]

for street in [turn, flop, pre-flop]:
data = generate_data(street, root_nodes_nn[street]) # solve leaf nodes
tf_data = convert_to_tf_data(data)
street_leaf_nn = train_neural_network(tf_data)

Do we really need to run the street in "pre-flop"??